DocumentCode :
2588555
Title :
Optimum Maintenance Policy Using Semi-Markov Decision Processes
Author :
Tomasevicz, Curtis L. ; Asgarpoor, Sohrab
Author_Institution :
Dept. of Electr. Eng., Univ. of Nebraska - Lincoln, Lincoln, NE
fYear :
2006
fDate :
17-19 Sept. 2006
Firstpage :
23
Lastpage :
28
Abstract :
A method is presented to solve for the optimum maintenance policy of repairable power equipment. The approach uses a continuous-time semi-Markov process (SMP) to first find the optimal maintenance rate for maximum availability of the equipment. Then a semi-Markov decision process (SMDP) is utilized to determine whether maintenance should be performed in each deterioration state. The approach uses a model that assumes equipment can fail due to both deterioration and random occurrences. Preventive maintenance can be performed from each working state to prevent deterioration failure. An example is used to demonstrate the method using MATLAB software.
Keywords :
Markov processes; continuous time systems; decision theory; failure analysis; power apparatus; preventive maintenance; reliability; MATLAB software; continuous-time semiMarkov decision process; deterioration failure prevention; optimum maintenance policy; preventive maintenance; repairable power equipment; Availability; Computer applications; Electronic mail; Job shop scheduling; MATLAB; Mathematical model; Power system security; Preventive maintenance; Steady-state; System testing; equipment availability; maintenance; power system maintenance; semi-Markov decision process; semi-Markov process;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Symposium, 2006. NAPS 2006. 38th North American
Conference_Location :
Carbondale, IL
Print_ISBN :
1-4244-0227-1
Electronic_ISBN :
1-4244-0228-X
Type :
conf
DOI :
10.1109/NAPS.2006.359586
Filename :
4201329
Link To Document :
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